27 jobs found

Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.

Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.

Senior Product Manager Location: London (Hybrid) About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the role We are seeking an experienced Product Manager - Cross Border to join our product organisation. In this role, you will lead product strategy, discovery, and delivery for capabilities that help merchants navigate complex international sales, starting with supporting their product catalog readiness, through enabling their online checkout experiences to accommodate for unique taxes and compliance aspects, all the way through execution and delivery of the fulfilment phases. You are expected to leverage AI for constant refinement of the various features and flows improving efficiency and value as well as handling user-facing experiences that simplify global selling. You will work cross-functionally with engineering, design, sales, compliance, operations, legal, and GTM teams to define and ship solutions that unlock value for merchants expanding their e-commerce footprint globally. What you'll do Define product vision & strategy: Shape the roadmap for global commerce products with a focus on cross-border pricing, duties & tax calculation, compliance, and an international wide set of regulatory aspects - all with a purpose of simplified selling and streamlined operations. Champion end-to-end ecommerce funnel tooling: Drive a SCRUM team in developing features that automate various steps and dimensions of both shopper and merchant facing experiences that required to complete and support a smooth and accurate cross-border shopping experience, focusing on financial and compliance accuracy to reduce merchant risk and negative surprise costs at delivery. Lead discovery & prioritisation: Conduct user research, gather requirements from stakeholders, and balance short-term merchant needs with long-term product strategies. Deliver scalable solutions: Partner with engineering and design to launch high-quality features that improve merchant operational workflows and customer checkout and post-checkout experiences across regions. Measure impact: Define success metrics, monitor product performance (e.g., conversion, compliance accuracy rates, landed cost precision), and iterate based on data. Cross-team communication: Coordinate with legal, operations, and partner teams to ensure global features meet regulatory and commercial requirements in diverse markets. Who you are Experienced product leader: 5+ years of product management experience in SaaS, compliance and/or e-commerce, with a history of shipping impactful global products. Cross-border domain knowledge: Understanding of international taxation (VAT/GST), import duties, trade compliance, and how these impact pricing and checkout experiences. Data-driven: Comfortable using quantitative and qualitative data to set priorities, test hypotheses, and drive decisions. Technical aptitude: Able to collaborate with engineering teams on APIs, integrations, and backend workflows, and translate complex requirements into clear specs. Customer-centric: Passionate about solving real merchant challenges and enhancing the global selling experience. Collaborative communicator: Excellent verbal and written communication; thrives in cross-functional environments. Nice to have Experience with e-commerce platforms (Shopify, SFCC, Magento/Adobe Commerce, BigCommerce). Prior work in tax/finance, trade compliance, or international logistics software. Familiarity with AI-empowered products or analytics tools. Exposure to products that operate in regulated or multi-jurisdiction environments. Benefits Competitive base salary. Stock options in a high-growth startup. Competitive PTO with public holidays additional. Private Health. Pension. Wellness benefits. Breakfast Mondays. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.

To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits

Your Role As a Senior Platform Engineer, you'll own the infrastructure, pipelines, and tooling that underpin how Walr's engineers build and ship software. Working within a small, focused platform team, you'll be hands on in everything from cloud infrastructure to CI/CD to observability - with a clear north star: developer experience. You'll measure your success in the same way we do: cycle time, build performance, and the confidence our engineers feel in the systems they rely on. This role is about leadership in execution, ownership of outcomes, and shaping your product's future. How You'll Make an Impact Technical Excellence Design, build, and maintain Walr's cloud infrastructure on Microsoft Azure using Infrastructure as Code (Bicep), ensuring environments are consistent, auditable, and scalable across multiple regions. Own our CI/CD pipelines (GitHub Actions) end to end, from authoring and optimizing pipelines to establishing release engineering standards that enable fast, reliable, low friction deployments. Implement and evolve our observability stack, building out logging, metrics, tracing, and alerting solutions that give engineers clear signal when things go wrong and confidence when they don't. Champion developer experience as a measurable outcome - track and improve key indicators such as build times, pipeline duration, and deployment frequency, treating the engineering team as your customer. Execution & Ownership Proactively identify and resolve infrastructure and platform issues before they become incidents, owning system reliability with an SRE mindset. Evaluate and introduce tooling - including AI native and agentic developer tools - that meaningfully accelerates how engineers work, with a bias for evidence over enthusiasm. Document platform capabilities and decisions clearly, reducing tribal knowledge and enabling engineering teams to self serve with confidence. Collaboration Partner closely with backend and frontend engineers across squads to understand their pain points and translate them into platform improvements. Informally mentor engineers on platform and DevSecOps practices, raising the waterline of infrastructure literacy across the engineering organization. Contribute to security and compliance posture (SOC 2, ISO 27001), working alongside the engineering leads to ensure platform practices meet our obligations without creating unnecessary friction. Skills That Set You Up For Success 5+ years of experience in platform, infrastructure, or DevOps engineering in a cloud native environment. Expertise in Microsoft Azure - including Azure Container Apps, Azure Functions, AKS, Service Bus, Cosmos DB, networking, and identity. Strong proficiency with Infrastructure as Code using Terraform or Bicep, with a focus on maintainability and reuse. Experience designing, building, and optimizing CI/CD pipelines, preferably with GitHub Actions. Deep understanding of containerization (Docker) and orchestration. Experience implementing observability solutions - structured logging, distributed tracing, metrics dashboards, and alerting (Datadog, incident.io, Sentry). A demonstrable commitment to developer experience, ideally with experience measuring and improving engineering throughput metrics. Excellent communication skills - equally effective writing a runbook, explaining a trade off to a product team, or raising a concern with leadership. Bonus Points For Microsoft certifications (Azure Administrator, DevOps Engineer Expert, or Solutions Architect). Experience with FinOps and cloud cost optimization practices. Background in SRE disciplines - SLOs, error budgets, and structured incident management. Hands on experience with AI native or agentic developer tooling, whether adopting, evaluating, or building it. Scripting proficiency in PowerShell, Bash, or Python for automation and tooling work.

Overview The Role: The Enterprise CSM is a unique blend of a technical expert and strategic relationship builder. You will drive adoption within a portfolio of Fortune 5000 accounts, moving beyond traditional BI to help customers deploy AI Agents and Embedded Analytics. You'll be as comfortable discussing API authentication with a developer as you are discussing ROI with a CDO. What You'll Do Account Strategy: Be part of a focused team managing multiple Fortune 5000 accounts, responsible for driving adoption, tying usage to business problems, and building expansion opportunities through passive selling. Champion Agentic AI: Partner with customers to move from dashboards to agents, helping them leverage ThoughtSpot Agents and LLM-based workflows to automate data insights. Architect & Advise: Guide technical stakeholders through the development lifecycle of building high-performance data apps using our APIs and SDKs, while ensuring their data stack (Snowflake/Databricks/BigQuery) is optimized for AI-driven search. Voice of the Customer: Act as the primary technical point of contact, communicating requirements and use cases in a way that is actionable for ThoughtSpot's Product, Engineering, and Marketing teams. Relationship Management: Foster robust relationships through proactive champion building, acting as the bridge between human business needs and complex data technicalities. Bridge Business and Technology: Translate customer business goals into technical requirements and, conversely, explain the business value of technical features to stakeholders. Technical Enablement: Run advanced workshops and live demos that showcase the "Art of the Possible" with AI, embedding, and agentic analytics. What Sets You Apart A Consultative Problem Solver: You have a knack for understanding complex business challenges and prescribing elegant technical solutions. Technically Curious: You have a deep passion for the data space and are constantly learning about new technologies like LLMs and Generative AI. Incredible Communicator: You can command a room of data architects and then pivot to explain a technical concept in simple terms to a business leader. Proactive & Eager to Help: You are a natural problem solver who enjoys diving in to help customers with their initial technical hurdles. Language Skills: Fluent in English and capable of speaking European languages (e.g., French, Spanish, German) in a business environment. What You Bring 5+ years in a customer-facing technical role (Technical CSM, Solutions Architect, or Sales Engineer) within the Data/SaaS space. Analytics & AI Depth: Strong knowledge of the modern data stack (Snowflake/BigQuery/Databricks) and an understanding of LLM-based applications or AI Agents. Developer Literacy: Proficiency in SQL and familiarity with JavaScript/TypeScript frameworks (React, Angular, or Vue) for supporting embedded use cases. Integration Knowledge: Comfort discussing REST APIs, webhooks, and security protocols like SAML/OIDC. The "Consultative Edge": Ability to translate complex technical "how-to" into strategic "why-it-matters" for executive stakeholders. Education: Master's/Bachelor's Degree preferred but not required. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration, including the ability to: Comfortably and confidently integrate artificial intelligence into daily workflows to increase productivity and quality. Hands-on experience leveraging AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality. Describe experience using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions. Write effective prompts to obtain accurate and creative results from AI tools. Spotters are expected to exemplify these key traits and AI Mindset: Curiosity in exploring new AI tools Adaptability to quickly learn and implement new, emerging AI technologies Critical thinking to know when to identify when AI should be used versus when human judgement is necessary This combination of curiosity, adaptability, and discernment defines the AI mindset and is required for every role at ThoughtSpot. AI Mindset for All Spotters At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work. All Spotters are expected to experiment with ThoughtSpot's AI tools and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI. Hybrid Work at ThoughtSpot This office-assigned role is available as a hybrid position, reporting to the office in the UK - London. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams. ThoughtSpot for All At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you're a strong match, we encourage you to apply. What Makes ThoughtSpot a Great Place to Work? ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives; this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you're excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that's right for you. About ThoughtSpot The world's most innovative companies turn to ThoughtSpot's AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture. At ThoughtSpot, we're a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That's why we build products that make asking and answering data questions as natural as having a conversation.

Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Job Title: Staff AI Engineer Salary: £120k-150k + Equity Company Description: Covecta - Seed-stage Agentic AI platform backed by Salesforce Ventures Job Description: As the most senior AI hire, you will lead the technical direction of a purpose-built platform orchestrating dozens of specialized agents across the financial services lifecycle. Moving beyond simple wrappers, you will solve complex document intelligence and multi-agent coordination challenges for major institutions like Metro Bank in a highly regulated, high-stakes environment. Location: London, UK Why this role is remarkable Lead AI engineering at a startup that scaled from MVP to paying enterprise customers across the UK and US in under a year. Work on high-stakes technical challenges including multi-agent orchestration, hallucination detection, and auditable AI for a $36 trillion industry. Join a talent-dense team founded by former Mambu and McKinsey leaders, backed by a recent $6.5M seed round led by Salesforce Ventures. What you will do Design and own the agentic orchestration layer that coordinates 50+ specialized financial agents with human-in-the-loop oversight. Architect robust evaluation and alignment frameworks to ensure accuracy, explainability, and policy compliance in regulated banking workflows. Build intelligent document processing pipelines to extract structured data from complex financial paperwork like regulatory filings and credit memos. The ideal candidate Extensive hands-on experience shipping production-grade AI systems, specifically within NLP, document intelligence, or agentic systems. Strong research instinct with the ability to translate emerging techniques into reliable systems using structured reasoning and guardrail design. High-velocity startup mindset with the architectural judgment to make consequential build-versus-buy decisions and shape a growing engineering culture.

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Director, Product Management - Platform Language We are a group of passionate product managers focused on delivering a world class platform as part of Genesys Cloud. As part of the core platform team, we are seeking a highly motivated and results-oriented Director to lead the evolution of localization and internationalization capabilities across our products. Our vision is to deliver a seamless, inclusive, and intuitive multilingual experience for every user and customer, regardless of geography, native language, or dialect. We aim to build foundational language capabilities that scale globally, support regional compliance and accessibility requirements, and drive user engagement across all international markets. As a Product Director, you will serve as the central point of ownership for the platform's language capabilities. You will work cross-functionally with engineering, UX, product, sales, and customer success teams to define the roadmap, drive execution, and continuously improve the way we support language across the product portfolio. Key Responsibilities: Own and drive the end-to-end product strategy for platform language capabilities, including localization, internationalization, and multilingual support Serve as the central point of contact and subject matter expert across the organization for all language-related platform initiatives Define and manage the language roadmap across the platform, prioritizing based on business impact, customer need, and technical feasibility Design and improve multi-language support across platform workflows - including seamless switching between agents and customers in different languages Define and monitor language quality metrics, ensuring translations are fit-for-purpose, culturally appropriate, and consistent across use cases Maintain and improve language completeness across UI, voice, AI, and documentation surfaces Establish benchmarks for language quality, performance, and adoption - including measurement frameworks, referenceability, and success criteria Define and continuously improve the process and velocity for enabling new languages, across UI, static text assets (STA), and AI/LLM-driven experiences Evaluate and incorporate regional localization requirements, including date/time formats, currency symbols, number formats, and address conventions Serve as the primary point of contact for sales and customer success teams regarding language-related customer questions, escalations, and support Drive analysis and competitive benchmarking (CI), identifying gaps and opportunities in comparison with competitors Conduct market and regional research to assess language requirements and user expectations in new geographies Explore and evaluate emerging language technologies, tools, and methodologies, including machine translation, LLMs, and hybrid models Track and tag language capabilities against revenue and pipeline data to inform prioritization and market opportunities Collaborate with reporting teams to improve language affinity tracking and visibility within product analytics Investigate ways to scale localization and translation capacity, improving efficiency and throughput Act in both a Product Manager and Project Manager capacity, ensuring alignment and execution across multiple internal stakeholders Coordinate across product, engineering, UX and regional teams to align and integrate all language-related efforts consistently across the platform Minimum Requirements: Bachelor's degree in computer science, Engineering, Linguistics, or related field 7+ years of product management experience or relevant technical role Experience with localization/internationalization, multilingual UX, or regional product strategy Familiarity with L10n/I18n frameworks, translation management systems, Unicode standards Strong technical aptitude to collaborate closely with engineering Excellent written and verbal communication skills Proven ability to deliver cross-functional projects on time and with impact Proven success in leading teams to deliver best in class solutions Self-starter with strong analytical skills and attention to detail Desirable Skills: Experience supporting platform-scale localization for SaaS or enterprise products Knowledge of accessibility standards and cultural nuances in UI/UX Background working with vendors or teams focused on translation, natural language processing (NLP), or voice technologies Passion for building inclusive, user-centered products for a global audience Experience benchmarking and analyzing competitors' localization capabilities Experience interacting with customers and partnersIf a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit . Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Join our Talent Community.Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud(TM) is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion,

Requisition ID: FEQ427R217 Sr. Solutions Architect (Lakewatch - EMEA) The Solutions Architect (Lakewatch) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way. The Lakewatch product line requires the following core technical competencies: 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role). Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable. Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF. Experience with "detection as code" workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping. Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities. The impact you will have Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment. Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement. As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision. Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments. Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D. Competencies & Responsibilities 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption. Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation. Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring. Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Description Job Location: Belfast Salary: Competitive (based on experience) Level: Accenture will be hiring at Assoc Manager level Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. As a team Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for our clients. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialised skills and tailored solutions. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. The Opportunity Do you lead with both technical depth and delivery excellence? At Accenture Technology, we're looking for an engineering focused Delivery Lead who combines genuine technical credibility with a track record of leading complex programmes and the curiosity to drive teams forward in an AI enabled world. You'll be embedded in real client engagements across our Global Delivery Network - working with some of the world's most ambitious organisations to deliver technology transformation that genuinely matters. You'll bring the confidence to engage in architecture conversations, contribute meaningfully to technical decisions, and inspire engineering teams through a shared understanding of what great delivery looks like. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, this is a role for someone who wants to shape the future of engineering delivery - not just manage it. What You'll Do You'll own end to end delivery - accountable for quality, pace, and client confidence from kick off to go live. Here's how that breaks down: Lead Drive delivery of high quality technology transformation programmes, on time and on budget Lead multi functional, geographically distributed engineering teams across the full delivery lifecycle - design, build, test, and deploy Coach and develop your team, creating an environment where AI tooling and modern engineering practices are adopted thoughtfully and with measurable impact Act as a trusted technology delivery partner for clients - bridging the gap between engineering reality and business expectation Plan & Decide Actively contribute to technical decisions - evaluating architectural trade offs, build vs. buy options, and their downstream impact on delivery risk and pace Use AI assisted planning tools to improve estimation accuracy, forecast risks earlier, and drive more data informed sprint and programme decisions Develop and manage end to end delivery plans across Agile, Scaled Agile, Kanban, and Waterfall methodologies Proactively manage Risk, Assumptions, Issues, and Dependencies (RAID) - using AI tooling to surface patterns and predict blockers before they land Lead governance, stakeholder reporting, and budgetary control with clarity and accountability Shape the Future of Engineering Delivery Champion AI enabled delivery practices within your teams - from AI assisted backlog refinement and sprint forecasting to automated status reporting and retrospective insight Stay ahead of where engineering delivery is going - agentic development, AI in the SDLC, DevSecOps, platform engineering - and bring those practices into your programmes Drive a culture of continuous improvement, where teams are empowered to experiment, iterate, and raise the bar on how software is built and shipped Contribute to Accenture's engineering delivery community, sharing what works and influencing practice at scale Qualification Proven track record of successfully leading end to end technology delivery programmes at scale, including budget ownership Strong engineering background - able to actively engage in technical design, architecture, and solution decisions, not just translate between teams Solid experience across Agile (Scrum, Kanban, Scaled Agile/SAFe) and Waterfall delivery methodologies Experienced people leader - able to build, motivate, and develop high performing, cross functional engineering teams Excellent stakeholder management skills - confident engaging senior client and internal leaders on both technical and commercial dimensions Strong organisational skills, able to manage multiple priorities and workstreams simultaneously Hands on user of AI enabled delivery tooling who actively champions adoption across their teams - able to speak concretely to how it has changed the way you plan, report, and lead AI Enabled Engineering Leadership (Essential at CL8) Practical experience using AI tools to improve delivery outcomes - e.g. AI assisted risk identification, sprint forecasting, reporting automation, or retrospective analysis Ability to coach teams on responsible and effective use of AI in a delivery context, maintaining human judgement and accountability on high stakes decisions Awareness of AI's evolving role in the SDLC - from AI assisted code generation and testing through to agentic workflows and autonomous delivery tooling Understanding of where AI adds genuine value in engineering delivery - and where human oversight remains essential Set Yourself Apart Proven ability to manage complex multi vendor or multi team delivery environments Experience influencing senior stakeholders and navigating organisational complexity Demonstrable knowledge of modern engineering practices - DevSecOps, SRE, platform engineering, modern architecture Relevant Cloud and Delivery certifications (e.g. SAFe, AWS, PMP, Prince2) Strong Technical and Emotional Quotient - able to hold both the engineering depth and the human dimensions of delivery What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days of vacation per year, access to app based fitness classes and discounts on a range of gyms, private medical insurance and three days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role to deliver the first class services we are known for. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Job Title: Full Stack Engineer Salary: £60k-£80k + Equity Location: Cambridge, UK Company Description: Lichen AI - Early stage agentic platform for AI discovery Job Description: As the first full time engineer, you will transform a working prototype into a production grade enterprise SaaS. You'll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you will ensure the platform is secure, reliable, and ready for global enterprise customers. Why this role is remarkable Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales. Work alongside a world class founding team including the former Chair of the UK Government's AI Council and Amazon Alexa's speech recognition lead. Build a mission driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients. Responsibilities Transition a high potential prototype to a production grade platform by building secure, scalable backend systems and automated deployment pipelines. Lead the end to end development of the user interface, making complex AI generated insights legible and actionable for non technical business users. Implement enterprise grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data. The ideal candidate Has 3 8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI). Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines. Thrives in a small, fast paced startup environment and possesses a genuine interest in human centered AI that enhances domain expertise.